fancy_gym/alr_envs/meta/README.MD

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# MetaWorld Wrappers
These are the Environment Wrappers for selected [Metaworld](https://meta-world.github.io/) environments in order to use our Motion Primitive gym interface with them.
All Metaworld environments have a 39 dimensional observation space with the same structure. The tasks differ only in the objective and the initial observations that are randomized.
Unused observations are zeroed out. E.g. for `Button-Press-v2` the observation mask looks the following:
```python
return np.hstack([
# Current observation
[False] * 3, # end-effector position
[False] * 1, # normalized gripper open distance
[True] * 3, # main object position
[False] * 4, # main object quaternion
[False] * 3, # secondary object position
[False] * 4, # secondary object quaternion
# Previous observation
[False] * 3, # previous end-effector position
[False] * 1, # previous normalized gripper open distance
[False] * 3, # previous main object position
[False] * 4, # previous main object quaternion
[False] * 3, # previous second object position
[False] * 4, # previous second object quaternion
# Goal
[True] * 3, # goal position
])
```
For other tasks only the boolean values have to be adjusted accordingly.